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ASCL Code Record

[ascl:2212.001] GWFAST: Fisher information matrix python package for gravitational-wave detectors

GWFAST forecasts the signal-to-noise ratios and parameter estimation capabilities of networks of gravitational-wave detectors, based on the Fisher information matrix approximation. It is designed for applications to third-generation gravitational-wave detectors. It is based on Automatic Differentiation, which makes use of the library JAX (ascl:2111.002). This allows efficient parallelization and numerical accuracy. The code includes a module for parallel computation on clusters.

Code site:
https://github.com/CosmoStatGW/gwfast
Used in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220702771I
Described in:
https://ui.adsabs.harvard.edu/abs/2022ApJS..263....2I
Bibcode:
2022ascl.soft12001I
Preferred citation method:

https://ui.adsabs.harvard.edu/abs/2022ApJS..263....2I and a link to the github repository https://github.com/CosmoStatGW/gwfast


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ascl:2212.001
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